Correlation uncertainty—Application to gear conformity

Metrology always aims at providing reliable information as a basis for decisions of the conformity assessment. These decisions are affected by the measurement uncertainty (The Guide to the Expression of Uncertainty in Measurement describes the measurement uncertainty evaluation) and the correlation uncertainty, which characterizes the fact that the Intended Functionality and the Specified Characteristics may not be perfectly correlated. To evaluate the risk of a wrong decision concerning the conformity assessment due to the correlation uncertainty, this contribution proposes a model for the expression and an evaluation method of the correlation uncertainty based on the Axiomatic Design matrix and the Monte Carlo Simulation.